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Ren B, Cheng J, Zhao L, Zhu Z, Zou X, Qin L, Wang Y. Research on the Frequency Response and Dynamic Range of the Quadrature Fiber Optic Fabry-Perot Cavity Microphone Based on the Differential Cross Multiplication Demodulation Algorithm. SENSORS 2021; 21:s21186152. [PMID: 34577359 PMCID: PMC8470968 DOI: 10.3390/s21186152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 12/02/2022]
Abstract
A quadrature fiber optic Fabry–Perot cavity microphone based on a differential cross multiplication algorithm consists of a pair of fibers and a membrane. It has many advantages such as high sensitivity, a simple structure, and resistance to electromagnetic interference. However, there are no systematic studies on its key performance, for example, its frequency response and dynamic range. In this paper, a comprehensive study of these two key parameters is carried out using simulation analysis and experimental verification. The upper limit of the frequency response range and the upper limit of the dynamic range influence each other, and they are both affected by the data sampling rate. At a certain data sampling rate, the higher the upper limit of the frequency response range is the lower the upper limit of the dynamic range. The quantitative relationship between them is revealed. In addition, these two key parameters also are affected by the quadrature phase deviation. The quadrature phase deviation should not exceed 0.25π under the condition that the demodulated signal intensity is not attenuated by more than 3 dB. Subsequently, a short-step quadrature Fabry–Perot cavity method is proposed, which can suppress the quadrature phase deviation of the quadrature fiber optic Fabry–Perot cavity microphone based on the differential cross multiplication algorithm.
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Affiliation(s)
- Baokai Ren
- Research Center for Sensor Technology, School of Applied Sciences, Mechanical Electrical Engineering School, Jianxiangqiao Campus, Beijing Information Science and Technology University, Beijing 100101, China; (B.R.); (X.Z.); (L.Q.); (Y.W.)
| | - Jin Cheng
- Research Center for Sensor Technology, School of Applied Sciences, Mechanical Electrical Engineering School, Jianxiangqiao Campus, Beijing Information Science and Technology University, Beijing 100101, China; (B.R.); (X.Z.); (L.Q.); (Y.W.)
- Correspondence:
| | - Longjiang Zhao
- College of Engineering, Qufu Normal University, Rizhao 276826, China;
| | - Zhenghou Zhu
- School of Materials Science & Engineering, Nanchang University, Nanchang 330031, China;
| | - Xiaoping Zou
- Research Center for Sensor Technology, School of Applied Sciences, Mechanical Electrical Engineering School, Jianxiangqiao Campus, Beijing Information Science and Technology University, Beijing 100101, China; (B.R.); (X.Z.); (L.Q.); (Y.W.)
| | - Lei Qin
- Research Center for Sensor Technology, School of Applied Sciences, Mechanical Electrical Engineering School, Jianxiangqiao Campus, Beijing Information Science and Technology University, Beijing 100101, China; (B.R.); (X.Z.); (L.Q.); (Y.W.)
- Beijing Key Laboratory for Optoelectronic Measurement Technology, Beijing Information Science & Technology University, Beijing 100192, China
- Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China
| | - Yifei Wang
- Research Center for Sensor Technology, School of Applied Sciences, Mechanical Electrical Engineering School, Jianxiangqiao Campus, Beijing Information Science and Technology University, Beijing 100101, China; (B.R.); (X.Z.); (L.Q.); (Y.W.)
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